In this long-awaited return episode of Search News, Dr. Marie Haynes explains how Google's helpful content system has radically changed search rankings.
She provides background on her experience studying Google's algorithms for over 16 years, and how the company has shifted to relying more on AI systems like helpful content rather than just links and keywords.
Marie walks through the evolution of major algorithm updates like Panda and Penguin, and what they revealed about Google's capabilities and focus on content quality. She explains how machine learning models can now predict helpful content, with training data from quality raters.
The episode provides real-world examples of sites that were impacted by recent helpful content updates, and what specific changes Google rewarded. Marie also offers advice for those struggling with helpful content suppression and wanting to better align with Google's criteria.
This episode will completely change your understanding of modern search rankings, and what you should prioritize on your site for visibility and traffic in 2023 and beyond. Don't miss Marie's long-awaited insider perspective on Google's helpful content!
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